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make_datacards.py
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make_datacards.py
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import os,sys
import ROOT
from datetime import date
user = os.environ.get("USER")
today= date.today().strftime("%b-%d-%Y")
wsname = "wfit"
thisDir = os.environ.get("PWD")
#fnfitParamsForShapeUnc = "%s/utils/signalFitParameters_muonResolutionUnc.root"%thisDir
#ffitParamsForShapeUnc = ROOT.TFile.Open(fnfitParamsForShapeUnc,"READ")
#fnfitParamsForAccUnc = "%s/data/acceff_interpolation_Run2.root"%thisDir
#ffitParamsForAccUnc = ROOT.TFile.Open(fnfitParamsForAccUnc,"READ")
#minMforSpline = 200.0
#maxMforSpline = 2500.0
useCategorizedSignal = True
useCategorizedBackground = True
useData = True
intLumi = 3.51 # Not used!!!! Signals weighted at filler level
useSignalMC = True
doPartiaUnblinding = False
ext = "data"
if not useData:
ext = "BGMC"
doCounting = False
useOnlyExponential = False
useOnlyPowerLaw = False
useOnlyBernstein = False
fullMeanFloat = False
meanFloat = False
doMuonResolution = True
noModel = False
dirExt = ""
""" # Privisionally removed but maybe used in future?
if len(sys.argv)>1:
if sys.argv[1]=="expo":
useOnlyExponential = True
dirExt = "_expoOnly"
elif sys.argv[1]=="plaw":
useOnlyPowerLaw = True
dirExt = "_plawOnly"
elif sys.argv[1]=="bern":
useOnlyBernstein = True
dirExt = "_bernOnly"
elif sys.argv[1]=="count":
doCounting = True
dirExt = "_count"
elif sys.argv[1]=="fullmeanfloat":
fullMeanFloat = True
dirExt = "_fullMeanFloat"
elif sys.argv[1]=="meanfloat":
meanFloat = True
dirExt = "_meanFloat"
elif sys.argv[1]=="nomodel":
noModel=True
dirExt = "_nomodel"
if len(sys.argv)>2 and sys.argv[2]=="nomodel":
noModel=True
dirExt = dirExt+"_nomodel"
"""
if len(sys.argv)>1:
year = sys.argv[1]
outDir = ("%s/datacards_all%s_"%(thisDir,dirExt))+today+"_"+year
if not os.path.exists(outDir):
os.makedirs(outDir)
inDir = "%s/fitResults_%s/"%(thisDir, year)
useSinglePDF = False
if useOnlyExponential or useOnlyPowerLaw or useOnlyBernstein:
useSinglePDF = True
dNames = []
#d_Dimuon_lxy0p0to2p7_iso0_pthigh_Signal_HTo2ZdTo2mu2x_MZd-7p0_ctau-1mm_2022_workspace.root
#### Caution, here the names AND order should be consistent to the ones set in cpp/doAll_fitDimuonMass.C
dNames.append("d_FourMu_sep")
dNames.append("d_FourMu_osv")
dNames.append("d_Dimuon_lxy0p0to0p2_iso0_ptlow")
dNames.append("d_Dimuon_lxy0p0to0p2_iso0_pthigh")
dNames.append("d_Dimuon_lxy0p0to0p2_iso1_ptlow")
dNames.append("d_Dimuon_lxy0p0to0p2_iso1_pthigh")
dNames.append("d_Dimuon_lxy0p2to1p0_iso0_ptlow")
dNames.append("d_Dimuon_lxy0p2to1p0_iso0_pthigh")
dNames.append("d_Dimuon_lxy0p2to1p0_iso1_ptlow")
dNames.append("d_Dimuon_lxy0p2to1p0_iso1_pthigh")
dNames.append("d_Dimuon_lxy1p0to2p4_iso0_ptlow")
dNames.append("d_Dimuon_lxy1p0to2p4_iso0_pthigh")
dNames.append("d_Dimuon_lxy1p0to2p4_iso1_ptlow")
dNames.append("d_Dimuon_lxy1p0to2p4_iso1_pthigh")
dNames.append("d_Dimuon_lxy2p4to3p1_iso0_ptlow")
dNames.append("d_Dimuon_lxy2p4to3p1_iso0_pthigh")
dNames.append("d_Dimuon_lxy2p4to3p1_iso1_ptlow")
dNames.append("d_Dimuon_lxy2p4to3p1_iso1_pthigh")
dNames.append("d_Dimuon_lxy3p1to7p0_iso0_ptlow")
dNames.append("d_Dimuon_lxy3p1to7p0_iso0_pthigh")
dNames.append("d_Dimuon_lxy3p1to7p0_iso1_ptlow")
dNames.append("d_Dimuon_lxy3p1to7p0_iso1_pthigh")
dNames.append("d_Dimuon_lxy7p0to11p0_iso0_ptlow")
dNames.append("d_Dimuon_lxy7p0to11p0_iso0_pthigh")
dNames.append("d_Dimuon_lxy7p0to11p0_iso1_ptlow")
dNames.append("d_Dimuon_lxy7p0to11p0_iso1_pthigh")
dNames.append("d_Dimuon_lxy11p0to16p0_iso0_ptlow")
dNames.append("d_Dimuon_lxy11p0to16p0_iso0_pthigh")
dNames.append("d_Dimuon_lxy11p0to16p0_iso1_ptlow")
dNames.append("d_Dimuon_lxy11p0to16p0_iso1_pthigh")
dNames.append("d_Dimuon_lxy16p0to70p0_iso0_ptlow")
dNames.append("d_Dimuon_lxy16p0to70p0_iso0_pthigh")
dNames.append("d_Dimuon_lxy16p0to70p0_iso1_ptlow")
dNames.append("d_Dimuon_lxy16p0to70p0_iso1_pthigh")
dNames.append("d_Dimuon_lxy0p0to0p2_non-pointing")
dNames.append("d_Dimuon_lxy0p2to1p0_non-pointing")
dNames.append("d_Dimuon_lxy1p0to2p4_non-pointing")
dNames.append("d_Dimuon_lxy2p4to3p1_non-pointing")
dNames.append("d_Dimuon_lxy3p1to7p0_non-pointing")
dNames.append("d_Dimuon_lxy7p0to11p0_non-pointing")
dNames.append("d_Dimuon_lxy11p0to16p0_non-pointing")
dNames.append("d_Dimuon_lxy16p0to70p0_non-pointing")
years = []
years.append(year)
###
#years.append("allEras")
#years.append("2023")
# Signals
sigModels = []
sigModels.append("HTo2ZdTo2mu2x")
sigModel = "HTo2ZdTo2mu2x"
sigTags = []
if useSignalMC:
if sigModel=="HTo2ZdTo2mu2x":
#sigMasses = [0.5, 0.7, 1.5, 2.0, 2.5, 5.0, 6.0, 7.0, 8.0, 14.0, 16.0, 20.0, 22.0, 24.0, 30.0, 34.0, 40.0, 44.0, 50.0]
sigMasses = [0.5, 0.7, 2.0, 2.5, 6.0, 7.0, 8.0, 14.0, 16.0, 20.0, 22.0, 24.0, 30.0, 34.0, 40.0, 44.0, 50.0]
for m in sigMasses:
sigCTaus = [1, 10, 100, 100]
for t in sigCTaus:
if ((m < 1.0 and t > 10) or (m < 30.0 and t > 100)):
continue
sigTags.append("Signal_HTo2ZdTo2mu2x_MZd-%s_ctau-%imm"%(str(m).replace('.','p'), t))
f2l = [0.0]
nSigTot = 1.0
if noModel:
f2l = [0.0, 0.01, 0.05, 0.1, 0.25, 0.5, 0.75, 0.9, 0.95, 0.99, 1.0]
mean = 0.0
sigma = 0.0
for y in years:
for m in sigTags:
M = float(m.split('-')[1].split('_')[0].replace('p','.'))
T = int(m.split('-')[2].split('mm')[0])
listOfBins = []
for d_,d in enumerate(dNames):
print("Analyzing %s, in region %s"%(m, d))
print("%s/%s_%s_%s_workspace.root"%(inDir,d,m,y))
finame = "%s/%s_%s_%s_workspace.root"%(inDir,d,m,y)
binidx=-1
if d=="d_FourMu_sep":
binidx=1
elif d=="d_FourMu_osv":
binidx=2
elif d=="d_Dimuon_lxy0p0to0p2_iso0_ptlow":
binidx=3
elif d=="d_Dimuon_lxy0p0to0p2_iso0_pthigh":
binidx=4
elif d=="d_Dimuon_lxy0p0to0p2_iso1_ptlow":
binidx=5
elif d=="d_Dimuon_lxy0p0to0p2_iso1_pthigh":
binidx=6
elif d=="d_Dimuon_lxy0p2to1p0_iso0_ptlow":
binidx=7
elif d=="d_Dimuon_lxy0p2to1p0_iso0_pthigh":
binidx=8
elif d=="d_Dimuon_lxy0p2to1p0_iso1_ptlow":
binidx=9
elif d=="d_Dimuon_lxy0p2to1p0_iso1_pthigh":
binidx=10
elif d=="d_Dimuon_lxy1p0to2p4_iso0_ptlow":
binidx=11
elif d=="d_Dimuon_lxy1p0to2p4_iso0_pthigh":
binidx=12
elif d=="d_Dimuon_lxy1p0to2p4_iso1_ptlow":
binidx=13
elif d=="d_Dimuon_lxy1p0to2p4_iso1_pthigh":
binidx=14
elif d=="d_Dimuon_lxy2p4to3p1_iso0_ptlow":
binidx=15
elif d=="d_Dimuon_lxy2p4to3p1_iso0_pthigh":
binidx=16
elif d=="d_Dimuon_lxy2p4to3p1_iso1_ptlow":
binidx=17
elif d=="d_Dimuon_lxy2p4to3p1_iso1_pthigh":
binidx=18
elif d=="d_Dimuon_lxy3p1to7p0_iso0_ptlow":
binidx=19
elif d=="d_Dimuon_lxy3p1to7p0_iso0_pthigh":
binidx=20
elif d=="d_Dimuon_lxy3p1to7p0_iso1_ptlow":
binidx=21
elif d=="d_Dimuon_lxy3p1to7p0_iso1_pthigh":
binidx=22
elif d=="d_Dimuon_lxy7p0to11p0_iso0_ptlow":
binidx=23
elif d=="d_Dimuon_lxy7p0to11p0_iso0_pthigh":
binidx=24
elif d=="d_Dimuon_lxy7p0to11p0_iso1_ptlow":
binidx=25
elif d=="d_Dimuon_lxy7p0to11p0_iso1_pthigh":
binidx=26
elif d=="d_Dimuon_lxy11p0to16p0_iso0_ptlow":
binidx=27
elif d=="d_Dimuon_lxy11p0to16p0_iso0_pthigh":
binidx=28
elif d=="d_Dimuon_lxy11p0to16p0_iso1_ptlow":
binidx=29
elif d=="d_Dimuon_lxy11p0to16p0_iso1_pthigh":
binidx=30
elif d=="d_Dimuon_lxy16p0to70p0_iso0_ptlow":
binidx=31
elif d=="d_Dimuon_lxy16p0to70p0_iso0_pthigh":
binidx=32
elif d=="d_Dimuon_lxy16p0to70p0_iso1_ptlow":
binidx=33
elif d=="d_Dimuon_lxy16p0to70p0_iso1_pthigh":
binidx=34
elif d=="d_Dimuon_lxy0p0to0p2_non-pointing":
binidx=35
elif d=="d_Dimuon_lxy0p2to1p0_non-pointing":
binidx=36
elif d=="d_Dimuon_lxy1p0to2p4_non-pointing":
binidx=37
elif d=="d_Dimuon_lxy2p4to3p1_non-pointing":
binidx=38
elif d=="d_Dimuon_lxy3p1to7p0_non-pointing":
binidx=39
elif d=="d_Dimuon_lxy7p0to11p0_non-pointing":
binidx=40
elif d=="d_Dimuon_lxy11p0to16p0_non-pointing":
binidx=41
elif d=="d_Dimuon_lxy16p0to70p0_non-pointing":
binidx=42
catExtS = ""
catExtB = ""
if useCategorizedSignal:
catExtS = "_ch%d_%s"%(binidx, year)
if useCategorizedBackground:
catExtB = "_ch%d_%s"%(binidx, year)
listOfBins.append(binidx)
# Open input file with workspace
f = ROOT.TFile(finame)
# Retrieve workspace from file
w = f.Get(wsname)
# Retrieve signal normalization
nSig = w.var("signalNorm%s"%catExtS).getValV()
#nSig = nSig*intLumi*1000.0/200000.0
if doPartiaUnblinding:
nSig = 0.1*nSig
if nSig < 1e-6:
nSig = 1e-6
# Retrieve signal mean and std. deviation
mean = w.var("mean%s"%catExtS).getValV()
sigma = w.var("sigma%s"%catExtS).getValV()
# Retrieve MC stat. uncertainty from RooDataSet
if w.var("signalRawNorm%s"%catExtS).getValV()>0.0:
mcstatunc = 1.0/ROOT.TMath.Sqrt(w.var("signalRawNorm%s"%catExtS).getValV())
else:
mcstatunc = 1.0
# Retrive BG normalization:
nBG = w.data("data_obs%s"%catExtB).sumEntries()
# Close input file with workspace
f.Close()
#if not doCounting:
# os.system("cp %s %s/"%(finame,outDir))
# finame = "%s/%s_%s_%s_workspace.root"%(inDir,d,m,y)
#finame = "%s_%s_M%s_%s_workspace.root"%(d,s,m,y)
# Define systematics that are independent of signal mass
btagsyst = 0.10
#if binidx>=2:
# btagsyst = 0.05
#
#muonselsyst = 0.05
#
## Derive mass-dependent systematic uncertainties
#minm = 200.0
#maxm = 2000.0
##
#minsyst = 0.015
#maxsyst = 0.03
#muonsfsyst = max(0.0,(maxsyst-minsyst)/(maxm-minm)*float(m) + minsyst - minm/(maxm-minm)*(maxsyst-minsyst))
##
#minsyst = 0.01
#maxsyst = 0.05
#triggersyst = max(0.0,(maxsyst-minsyst)/(maxm-minm)*float(m) + minsyst - minm/(maxm-minm)*(maxsyst-minsyst))
##
#if binidx<2:
# minsyst = 0.015
# maxsyst = 0.01
#else:
# minsyst = 0.05
# maxsyst = 0.02
#jecsyst = max(0.0,(maxsyst-minsyst)/(maxm-minm)*float(m) + minsyst - minm/(maxm-minm)*(maxsyst-minsyst))
## Shape systematic on signal mean, linearly increasing with mass
#minsyst = 0.000
#maxsyst = 0.002
#meanvar = max(0.0,(maxsyst-minsyst)/(maxm-minm)*float(m) + minsyst - minm/(maxm-minm)*(maxsyst-minsyst))*float(m)
#
#sigmavar = 0.0
#if float(m) > minMforSpline-0.001 and float(m) < maxMforSpline+0.001:
# fsigmavar = ffitParamsForShapeUnc.Get("splines")
# sigmavar = abs(fsigmavar.Eval(float(m))-sigma)
#else:
# fsigmavar =ffitParamsForShapeUnc.Get("fsigma")
# sigmavar = abs(fsigmavar.Eval(float(m))-sigma)
#
#if float(m) > minMforSpline-0.001 and float(m) < maxMforSpline+0.001:
# accbb_nb1 = ffitParamsForAccUnc.Get("spline_avg_acceff_bb_Nb_eq_1_Run2")
# accbb_nb2 = ffitParamsForAccUnc.Get("spline_avg_acceff_bb_Nb_geq_2_Run2")
# accsb_nb1 = ffitParamsForAccUnc.Get("spline_avg_acceff_sb_Nb_eq_1_Run2")
# accsb_nb2 = ffitParamsForAccUnc.Get("spline_avg_acceff_sb_Nb_geq_2_Run2")
# errupbb_nb1 = ffitParamsForAccUnc.Get("spline_avg_errsq_up_acceff_bb_Nb_eq_1_Run2")
# errupbb_nb2 = ffitParamsForAccUnc.Get("spline_avg_errsq_up_acceff_bb_Nb_geq_2_Run2")
# errupsb_nb1 = ffitParamsForAccUnc.Get("spline_avg_errsq_up_acceff_sb_Nb_eq_1_Run2")
# errupsb_nb2 = ffitParamsForAccUnc.Get("spline_avg_errsq_up_acceff_sb_Nb_geq_2_Run2")
# errdnbb_nb1 = ffitParamsForAccUnc.Get("spline_avg_errsq_dn_acceff_bb_Nb_eq_1_Run2")
# errdnbb_nb2 = ffitParamsForAccUnc.Get("spline_avg_errsq_dn_acceff_bb_Nb_geq_2_Run2")
# errdnsb_nb1 = ffitParamsForAccUnc.Get("spline_avg_errsq_dn_acceff_sb_Nb_eq_1_Run2")
# errdnsb_nb2 = ffitParamsForAccUnc.Get("spline_avg_errsq_dn_acceff_sb_Nb_geq_2_Run2")
# tacctot = 0.0
# taccbb = 0.0
# taccsb = 0.0
# terrtot = 0.0
# terrbb = 0.0
# terrsb = 0.0
# if binidx == 0:
# taccbb = accbb_nb1.Eval(float(m))+accbb_nb2.Eval(float(m))
# taccsb = accsb_nb1.Eval(float(m))+accsb_nb2.Eval(float(m))
# tacctot = taccbb+taccsb
# terrbb = max(errupbb_nb1.Eval(float(m)),errdnbb_nb1.Eval(float(m)))+max(errupbb_nb2.Eval(float(m)),errdnbb_nb2.Eval(float(m)))
# terrsb = max(errupsb_nb1.Eval(float(m)),errdnsb_nb1.Eval(float(m)))+max(errupsb_nb2.Eval(float(m)),errdnsb_nb2.Eval(float(m)))
# terrtot = ROOT.TMath.Sqrt(terrbb+terrsb)/tacctot if tacctot > 0.0 else 1.0
# elif binidx == 1:
# taccbb = accbb_nb1.Eval(float(m))
# taccsb = accsb_nb1.Eval(float(m))
# tacctot = taccbb+taccsb
# terrbb = max(errupbb_nb1.Eval(float(m)),errdnbb_nb1.Eval(float(m)))
# terrsb = max(errupsb_nb1.Eval(float(m)),errdnsb_nb1.Eval(float(m)))
# terrtot = ROOT.TMath.Sqrt(terrbb+terrsb)/tacctot if tacctot > 0.0 else 1.0
# elif binidx == 2:
# taccbb = accbb_nb2.Eval(float(m))
# taccsb = accsb_nb2.Eval(float(m))
# tacctot = taccbb+taccsb
# terrbb = max(errupbb_nb2.Eval(float(m)),errdnbb_nb2.Eval(float(m)))
# terrsb = max(errupsb_nb2.Eval(float(m)),errdnsb_nb2.Eval(float(m)))
# terrtot = ROOT.TMath.Sqrt(terrbb+terrsb)/tacctot if tacctot > 0.0 else 1.0
f2l = [1.0]
for f in f2l:
cname = ""
if noModel:
nSig = nSigTot
if binidx == 1:
nSig = nSigTot*(1-f)
elif binidx == 2:
nSig = nSigTot*f
if binidx > 0:
cname = "_f2b%d"%(f*100)
cardn = "%s/card%s_ch%d_%s_M%.1f_ctau%i_%s.txt"%(outDir,cname,binidx,sigModel,M,T,y)
if noModel:
cardn = "%s/card%s_ch%d_nomodel_M%s_%s.txt"%(outDir,cname,binidx,m,y)
card = open("%s"%cardn,"w")
card.write("imax *\n")
card.write("jmax *\n")
card.write("kmax *\n")
card.write("------------\n")
if doCounting:
card.write("shapes * * FAKE\n")
else:
card.write("shapes data_obs * %s %s:data_obs%s\n"%(finame,wsname,catExtB))
card.write("shapes signal * %s %s:signal%s\n"%(finame,wsname,catExtS))
if not useSinglePDF:
card.write("shapes background * %s %s:roomultipdf%s\n"%(finame,wsname,catExtB))
elif useOnlyExponential:
card.write("shapes background * %s %s:background_exponential%s\n"%(finame,wsname,catExtB))
elif useOnlyPowerLaw:
card.write("shapes background * %s %s:background_powerlaw%s\n"%(finame,wsname,catExtB))
elif useOnlyBernstein:
card.write("shapes background * %s %s:background_bernstein%s\n"%(finame,wsname,catExtB))
card.write("------------\n")
# Observation (taken directly from RooDataSet data_obs)
card.write("bin ch%d\n"%(binidx))
if doCounting:
card.write("observation %.3f\n"%nBG)
else:
card.write("observation -1\n")
card.write("------------\n")
# Rates (background is left freely floating)
card.write("bin ch%d ch%d\n"%(binidx,binidx))
card.write("process signal background\n")
card.write("process 0 1\n")
if doCounting:
card.write("rate %.3f %.3f\n"%(nSig,nBG))
else:
card.write("rate %e 1\n"%(nSig)) # CELIANOTE: Is this really correct?
card.write("------------\n")
# Systematics
card.write("lumi_13TeV lnN 1.016 -\n") # Integrated luminosity uncertainty on signal (fully correlated)
#card.write("CMS_eff_trigger lnN %.3f -\n"%(1.0+triggersyst)) # Systematic uncertainty on signal from trigger (fully correlated)
#card.write("CMS_eff_muonid lnN %.3f -\n"%(1.0+muonsfsyst)) # Systematic uncertainty on signal from muon RECO, ID, isolation (fully correlated)
#card.write("CMS_eff_muonsel lnN %.3f -\n"%(1.0+muonselsyst)) # Systematic uncertainty on signal from muon additional selection (fully correlated)
card.write("CMS_eff_btag lnN %.3f -\n"%(1.0+btagsyst)) # Systematic uncertainty on signal from b-tagging (fully correlated)
#card.write("CMS_scale_jet_ch%d lnN %.3f -\n"%(binidx,1.0+jecsyst)) # Systematic uncertainty on signal from JES (uncorrelated)
#card.write("mcstat_ch%d lnN %.3f -\n"%(binidx,1.0+mcstatunc)) # MC stat. uncertainty (uncorrelated)
#card.write("accstat_ch%d lnN %.3f -\n"%(binidx,1.0+terrtot)) # Stat. uncertainty on average acceptance (uncorrelated)
#if meanFloat:
# card.write("mean param %.3f -%.3f/+%.3f\n"%(mean,0.5*sigma,0.5*sigma)) # Shape systematic on dimuon mass mean value
#elif fullMeanFloat:
# card.write("mean param %.3f %.3f\n"%(mean,sigma)) # Shape systematic on dimuon mass mean value
#elif meanvar/float(m)>1e-6:
# card.write("mean param %.3f %.3f\n"%(mean,meanvar))
#if doMuonResolution:
# card.write("sigma param %.3f %.3f\n"%(sigma,sigmavar))
if doCounting:
card.write("bg_norm_ch%d gmN %d - 1.0\n"%(binidx,int(nBG)))
else:
if not useSinglePDF:
card.write("pdf_index_ch%d_%s discrete\n"%(binidx, year)) # For discrete profiling
#card.write("pdf_index discrete\n") # For discrete profiling
card.close()
## text2workspace for individual cards:
#os.chdir(outDir)
#if noModel:
# os.system("text2workspace.py card%s_ch%d_nomodel_M%s_%s.txt -m %s"%(cname,binidx,m,y,m))
#else:
# os.system("text2workspace.py card%s_ch%d_%s_M%.1f_ctau%i_%s.txt"%(cname,binidx,sigModel,M,T,y))
#os.chdir(thisDir)
## Combine cards:
if len(dNames)>1:
os.chdir(outDir)
combinedCards = ""
for binidx in listOfBins:
cname = ""
#if noModel and binidx > 0:
# cname = "_f2b%d"%(f*100)
#if noModel:
# os.system("combineCards.py -S card%s_ch1_nomodel_M%s_%s.txt card%s_ch2_nomodel_M%s_%s.txt > card%s_combined_nomodel_M%s_%s.txt"%(cname,m,y,cname,m,y,cname,m,y))
# os.system("text2workspace.py card%s_combined_nomodel_M%s_%s.txt -m %s"%(cname,m,y,m))
#else:
# os.system("combineCards.py -S card%s_ch1_%s_M%s_%s.txt card%s_ch2_%s_M%s_%s.txt > card%s_combined_%s_M%s_%s.txt"%(cname,s,m,y,cname,s,m,y,cname,s,m,y))
# os.system("text2workspace.py card%s_combined_%s_M%s_%s.txt -m %s"%(cname,s,m,y,m))
combinedCards += "%s/card%s_ch%d_%s_M%.1f_ctau%i_%s.txt "%(outDir,cname,binidx,sigModel,M,T,y)
os.system("combineCards.py -S %s > card%s_combined_%s_M%.1f_ctau%i_%s.txt"%(combinedCards,cname,sigModel,M,T,y))
os.system("text2workspace.py card%s_combined_%s_M%.1f_ctau%i_%s.txt"%(cname,sigModel,M,T,y))
os.chdir(thisDir)